AI In Medical Imaging Market Report 2026

AI In Medical Imaging Market Report 2026
Global Outlook – By Technology (Deep Learning, Natural Language Processing (NLP)), By Solution (Software Tools, Services), By Modality (Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging), By Application (Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications), By End-Use (Hospitals, Diagnostic Imaging Centers, Other End-Users) – Market Size, Trends, Strategies, and Forecast to 2035
AI In Medical Imaging Market Overview
• AI In Medical Imaging market size has reached to $3.79 billion in 2025 • Expected to grow to $20.28 billion in 2030 at a compound annual growth rate (CAGR) of 39.9% • Growth Driver: Rising Incidence Of Chronic Diseases Propels Growth In The AI in Medical Imaging Market • Market Trend: Cloud-Native AI Innovations Elevating Precision And Efficiency In Medical Imaging Workflows • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.What Is Covered Under AI In Medical Imaging Market?
AI in medical imaging refers to the use of disruptive technology that uses computer algorithms for imaging. AI in medical imaging is used to assist healthcare professionals in diagnosing a wide variety of conditions. It improves the accuracy, efficiency, and speed of image interpretation, assisting radiologists and healthcare professionals in making diagnoses. The main types of technologies in AI in medical imaging are deep learning, natural language processing (NLP), and others. Deep learning refers to a subfield of artificial intelligence (AI) and machine learning that focuses on training deep neural networks to learn and make predictions or decisions based on large amounts of data. It includes software, tools, and services. It includes various modalities, such as computed tomography (CT) scans, magnetic resonance imaging (MRI), X-rays, ultrasound, and nuclear imaging. These are used for several applications, including digital pathology, oncology, cardiovascular, neurology, lung (respiratory system), breast (mammography), liver (GI), oral diagnostics, and others. The main end-users are hospitals, diagnostic imaging centers, and others.
What Is The AI In Medical Imaging Market Size and Share 2026?
The AI in medical imaging market size has grown exponentially in recent years. It will grow from $3.79 billion in 2025 to $5.29 billion in 2026 at a compound annual growth rate (CAGR) of 39.5%. The growth in the historic period can be attributed to rising medical imaging procedures, need for diagnostic accuracy, growth of radiology departments, digitization of imaging systems, increased healthcare spending.What Is The AI In Medical Imaging Market Growth Forecast?
The AI in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $20.28 billion in 2030 at a compound annual growth rate (CAGR) of 39.9%. The growth in the forecast period can be attributed to expansion of ai-enabled radiology tools, shortage of radiologists, demand for faster diagnosis, adoption of cloud imaging platforms, growth of oncology and cardiology imaging. Major trends in the forecast period include ai-assisted image interpretation, deep learning-based imaging analysis, workflow automation in radiology, real-time imaging decision support, advanced image reconstruction techniques.Global AI In Medical Imaging Market Segmentation
1) By Technology: Deep Learning, Natural Language Processing (NLP) 2) By Solution: Software Tools, Services 3) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging 4) By Application: Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications 5) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users Subsegments: 1) By Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning 2) By Natural Language Processing (NLP): Speech Recognition, Text Analytics, Information Extraction, Clinical Decision Support SystemsWhat Is The Driver Of The AI In Medical Imaging Market?
The growing incidence of chronic diseases is expected to propel the growth of the AI in medical imaging market going forward. Chronic diseases are long-lasting medical conditions that persist over an extended period, typically for three months or more. The use of AI in medical imaging for chronic diseases enables enhanced diagnostics, timely intervention, and personalized treatment plans by leveraging advanced image analysis algorithms, facilitating early detection, accurate characterization, and optimized management of chronic conditions for improved patient outcomes. For instance, in September 2023, according to the World Health Organization (WHO), a Switzerland-based intergovernmental organization, each year there are 41 million deaths worldwide, accounting for 74% of all fatalities attributed to chronic diseases. This includes 17.9 million deaths from cardiovascular diseases, 9.3 million from cancer, 4.1 million from chronic respiratory diseases, and 2.0 million from diabetes. Therefore, the growing incidence of chronic diseases is driving the growth of the AI in medical imaging industry.Key Players In The Global AI In Medical Imaging Market
Major companies operating in the AI in medical imaging market are Siemens Healthineers AG; GE HealthCare Technologies Inc.; Koninklijke Philips NV; Lunit Inc.; DeepMind; Viz.AI Inc.; Aidoc; AZmed; Digital Diagnostics Inc.; Butterfly Network Inc.; Cleerly; Behold.ai; Enlitic; Nano-X Imaging Ltd.; Arterys; Caption Health; EchoNous Inc.; Gleamer; CellmatiQ GmbH; MediwhaleGlobal AI In Medical Imaging Market Trends and Insights
Major companies operating in the AI in medical imaging market are focusing on developing advanced solutions such as cloud-native radiology operating systems to enhance diagnostic accuracy and workflow efficiency. A cloud-native radiology operating system integrates imaging data, clinical workflows, and AI tools into a unified platform that supports faster and more accurate diagnoses. For instance, in February 2025, DeepHealth, a US-based company, launched new AI-powered radiology informatics and population screening solutions featuring its DeepHealth OS system. The launch introduced Diagnostic Suite, which redefines traditional imaging systems with a unified AI-powered workspace that integrates patient data, reporting, and visualization tools for radiologists. It also included SmartMammo, an end-to-end diagnostic SaaS solution for mammography that increases cancer detection rates and improves workflow integration. The suite supports AI-driven screening for lung, prostate, and brain health, enabling faster diagnostic interpretation and improved clinical confidence. These innovations demonstrate how DeepHealth is enhancing operational efficiency and advancing precision care across radiology practices.What Are Latest Mergers And Acquisitions In The AI In Medical Imaging Market?
In January 2023, Bayer AG, a Germany-based pharmaceutical and biotechnology company, acquired Blackford Analysis Ltd. for an undisclosed amount. With this acquisition, Bayer AG. aimed to develop new AI-powered solutions for medical imaging to accelerate the adoption of AI and gain a competitive advantage in the healthcare industry. Blackford Analysis Ltd. is a UK-based software company that provides AI in medical imaging technological solutions.Regional Insights
North America was the largest region in the AI in medical imaging market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, SpainWhat Defines the AI In Medical Imaging Market?
The AI in the medical imaging market consists of revenues earned by entities by providing computer-aided diagnosis (CAD), image segmentation and annotation, image reconstruction and enhancement, and quantitative image analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the medical imaging market also includes sales of PET scan machines, angiography devices, echocardiogram devices, clinical decision support systems, and imaging modalities which are used in providing AI in medical imaging services. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.How is Market Value Defined and Measured?
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.What Key Data and Analysis Are Included in the AI In Medical Imaging Market Report 2026?
The ai in medical imaging market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the ai in medical imaging industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.AI In Medical Imaging Market Report Forecast Analysis
| Report Attribute | Details |
|---|---|
| Market Size Value In 2026 | $5.29 billion |
| Revenue Forecast In 2035 | $20.28 billion |
| Growth Rate | CAGR of 39.5% from 2026 to 2035 |
| Base Year For Estimation | 2025 |
| Actual Estimates/Historical Data | 2020-2025 |
| Forecast Period | 2026 - 2030 - 2035 |
| Market Representation | Revenue in USD Billion and CAGR from 2026 to 2035 |
| Segments Covered | Technology, Solution, Modality, Application, End-Use |
| Regional Scope | Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa |
| Country Scope | The countries covered in the report are Australia, Brazil, China, France, Germany, India, ... |
| Key Companies Profiled | Siemens Healthineers AG; GE HealthCare Technologies Inc.; Koninklijke Philips NV; Lunit Inc.; DeepMind; Viz.AI Inc.; Aidoc; AZmed; Digital Diagnostics Inc.; Butterfly Network Inc.; Cleerly; Behold.ai; Enlitic; Nano-X Imaging Ltd.; Arterys; Caption Health; EchoNous Inc.; Gleamer; CellmatiQ GmbH; Mediwhale |
| Customization Scope | Request for Customization |
| Pricing And Purchase Options | Explore Purchase Options |
Frequently Asked Questions
The AI In Medical Imaging Market Report 2026 market was valued at $3.79 billion in 2025, increased to $5.29 billion in 2026, and is projected to reach $20.28 billion by 2030.
request a sample hereThe expected CAGR for the AI In Medical Imaging Market Report 2026 market during the forecast period 2025–2030 is 39.9%.
request a sample hereMajor growth driver of the market includes: Rising Incidence Of Chronic Diseases Propels Growth In The AI in Medical Imaging Market in the AI In Medical Imaging Market Report 2026 market. For further insights on this market,
request a sample hereThe AI in medical imaging market covered in this report is segmented –
1) By Technology: Deep Learning, Natural Language Processing (NLP)
2) By Solution: Software Tools, Services
3) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging
4) By Application: Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications
5) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users Subsegments:
1) By Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning
2) By Natural Language Processing (NLP): Speech Recognition, Text Analytics, Information Extraction, Clinical Decision Support Systems
request a sample here1) By Technology: Deep Learning, Natural Language Processing (NLP)
2) By Solution: Software Tools, Services
3) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging
4) By Application: Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications
5) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users Subsegments:
1) By Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning
2) By Natural Language Processing (NLP): Speech Recognition, Text Analytics, Information Extraction, Clinical Decision Support Systems
Major trend in this market includes: Cloud-Native AI Innovations Elevating Precision And Efficiency In Medical Imaging Workflows For further insights on this market,
request a sample hereMajor companies operating in the AI In Medical Imaging Market Report 2026 market are Major companies operating in the AI in medical imaging market are Siemens Healthineers AG; GE HealthCare Technologies Inc.; Koninklijke Philips NV; Lunit Inc.; DeepMind; Viz.AI Inc.; Aidoc; AZmed; Digital Diagnostics Inc.; Butterfly Network Inc.; Cleerly; Behold.ai; Enlitic; Nano-X Imaging Ltd.; Arterys; Caption Health; EchoNous Inc.; Gleamer; CellmatiQ GmbH; Mediwhale
request a sample hereNorth America was the largest region in the AI in medical imaging market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in medical imaging market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
request a sample here